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.travis.yml (47, 2021-01-05)
LICENSE (11391, 2021-01-05)
corenlp.iml (4302, 2021-01-05)
project.clj (642, 2021-01-05)
src (0, 2021-01-05)
src\org (0, 2021-01-05)
src\org\clojurenlp (0, 2021-01-05)
src\org\clojurenlp\core.clj (9925, 2021-01-05)
test (0, 2021-01-05)
test\org (0, 2021-01-05)
test\org\clojurenlp (0, 2021-01-05)
test\org\clojurenlp\core (0, 2021-01-05)
test\org\clojurenlp\core\unit_tests.clj (860, 2021-01-05)

# org.clojurenlp.core [](https://clojars.org/org.clojurenlp/core) [](https://travis-ci.org/clojurenlp/core) [](https://gitter.im/clojurenlp/Lobby) Natural language processing in Clojure based on the Stanford-CoreNLP parser. # ‘ MAINTAINERS WANTED! We need help getting this project moving. Please feel free to email to leontalbot@gmail.com to join the org, or drop a line in the chat room. This is a work in progress, currently in the POC phase. ## Usage ### Tokenization (use 'org.clojurenlp.core) (tokenize "This is a simple sentence.") ;; => '({:token "This", :start-offset 0, :end-offset 4} {:token "is", :start-offset 5, :end-offset 7} {:token "a", :start-offset 8, :end-offset 9} {:token "simple", :start-offset 10, :end-offset 16} {:token "sentence", :start-offset 17, :end-offset 25} {:token ".", :start-offset 25, :end-offset 26}) ### Part-of-Speech Tagging To get a list of `TaggedWord` objects: (use 'org.clojurenlp.core) ;; use any of these: (-> "Short and sweet." tokenize pos-tag) (-> "Short and sweet." split-sentences first pos-tag) (-> ["Short" "and" "sweet" "."] pos-tag) (-> "Short and sweet." pos-tag) ;; => [# # ...] To return a tag string from TaggedWord object: (->> "Short and sweet." tokenize pos-tag first .tag) ;; => JJ (->> "Short and sweet." tokenize pos-tag (map #(.tag %))) ;; => ("JJ" "CC" "JJ" ".") For more information, see the [relevant Javadoc](http://nlp.stanford.edu/nlp/javadoc/javanlp/edu/stanford/nlp/ling/TaggedWord.html) ### Named Entity Recognition To tag named entities utilizing standard Stanford NER model: (use 'org.clojurenlp.core) (def pipeline (initialize-pipeline)) (def text "The United States of America will be tagged as a location") (tag-ner pipeline text) Training your own model [How to Train Your Own Model](https://nlp.stanford.edu/software/crf-faq.html#a) To tag named entities utilizing custom trained model: (use 'org.clojurenlp.core) (def pipeline (initialize-pipeline "path-to-serialized-model")) (def text "The United States of America will be tagged as a location") (tag-ner pipeline text) Utilizing either NER tagging strategy, a map containing the original text, sentences, tokens, and ner tags will be returned. ### Parsing To parse a sentence: (use 'org.clojurenlp.core) (parse (tokenize text)) You will get back a LabeledScoredTreeNode which you can plug in to other Stanford CoreNLP functions or can convert to a standard Treebank string with: (str (parse (tokenize text))) ### Stanford Dependencies (dependency-graph "I like cheese.") will parse the sentence and return the dependency graph as a [loom](https://github.com/jkk/loom) graph, which you can then traverse with standard graph algorithms like shortest path, etc. You can also view it: (def graph (dependency-graph "I like cheese.")) (use 'loom.io) (view graph) This requires GraphViz to be installed. ## License 2018 The ClojureNLP Organization and Contributors Distributed under the Apache 2.0 License. See LICENSE for details. ## The ClojureNLP Organization - Leon Talbot @leontalbot - Andrew McLoud @andrewmcloud ## Contributors - Cory Giles - Hans Engel - Damien Stanton - Andrew McLoud - Leon Talbot - Marek Owsikowski [](https://paypal.me/clojurenlp)

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